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S1_M1_R3_ViT_42618486 – AI Model by alirzb | AlphaNeural AI
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alirzb
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S1_M1_R3_ViT_42618486
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transformers
pytorch
vit
image-classification
generated_from_trainer
google/vit-base-patch16-224
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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S1_M1_R3_ViT_42618486
This model is a fine-tuned version of
google/vit-base-patch16-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0015
Accuracy: 0.9992
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0039
1.0
379
0.0024
0.9992
0.0041
2.0
759
0.0049
0.9984
0.0001
3.0
1139
0.0029
0.9992
0.0
4.0
1519
0.0014
0.9992
0.0
4.99
1895
0.0015
0.9992
Framework versions
Transformers 4.32.1
Pytorch 2.1.2
Datasets 2.16.1
Tokenizers 0.13.3
